Map Reduce Paper - Distributed data processing
Paper that inspired Hadoop. This video explains Map Reduce concepts which is used for distributed big data processing.
This video takes some liberties to explain the underlying concept as simply as possible. For example; the map process for song count is typically implemented as, emit number 1 for each song title. After this a combiner function is used to locally aggregate/sum these counts per song.
Also, this video leaves out many implementation details, which are interesting. I encourage you to read the paper for them.
Thanks for watching.
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Complex concepts explained in short & simple manner. Topics include Java Concurrency, Spring Boot, Microservices, Distributed Systems etc. Feel free to ask any doubts in the comments. Also happy to take requests for new videos.
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Watch video Map Reduce Paper - Distributed data processing online without registration, duration hours minute second in high quality. This video was added by user Defog Tech 03 May 2019, don't forget to share it with your friends and acquaintances, it has been viewed on our site 49,865 once and liked it 1.2 thousand people.